How do I install Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

What transport does Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract use?

Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract is reached over HTTP.

Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract

by io.github.Nero-Engine

Run one LLM instruction over every row to classify, extract or summarise into new columns.

接入你的智能体

添加此服务器

The publisher's own URL. Not a PlugMCP endpoint.

Server URL

https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich

Provider

Add in Claude

Claude opens with the name and URL filled in. You still confirm it there.

Claude Code

claude mcp add --transport http io.github.nero-engine-dataset-ai-enrich https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich

Run in a terminal.

Claude Desktop

{
  "mcpServers": {
    "io.github.nero-engine-dataset-ai-enrich": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

在 PlugMCP 上运行

用我们的密钥与日志托管一份副本。

这是你新建的服务器，不是此条目的官方端点。若要用发布方的 URL 与凭证，请使用上方安装面板。

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Questions

How do I install Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract?: Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract need an API key?: No required environment variable is listed on this record.
What transport does Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract use?: Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract is reached over HTTP.
When was Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract last checked?: Last checked 2026-10-16. Run one LLM instruction over every row to classify, extract or summarise into new columns.

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